Stata: Software for Statistics and Data Science | Stata

2merge— Merge datasets Menu Data > Combine datasets > Merge two datasets Description merge joins corresponding observations from the dataset currently in memory (called the master dataset) with those from filename.dta (called the using dataset), matching on one or more key

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SAS programs for making SDTM DM and EX datasets

Clinical Trials – Make SDTM DM and EX datasets 6 Program 4: make_sort_order.sas /* make_sort_order.sas creates a global macro variable called SORTSTRING where ** is the name of the dataset that

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Titanic Datasets - Lake Forest College

Titanic passengers is the Encyclopedia Titanica. The datasets used here were begun by a variety of researchers. One of the original sources is Eaton & Haas (1994) Titanic: Triumph and Tragedy, Patrick Stephens Ltd, which includes a passenger list created by many researchers and edited by …

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Mining of Massive Datasets - Stanford University

Algorithms for clustering very large, high-dimensional datasets. iii. iv PREFACE 7. Two key problems for Web applications: managing advertising and rec-ommendation systems. 8. Algorithms for analyzing and mining the structure of very large graphs, especially social-network graphs. 9. Techniques for obtaining the important properties of a large ...

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Resilient Distributed Datasets: A Fault-Tolerant ...

derived from other datasets (its lineage) to compute its partitions from data in stable storage. This is a power-ful property: in essence, a program cannot reference an RDD that it cannot reconstruct after a failure. Finally, users can control two other aspects of RDDs: persistence and partitioning. Users can indicate which

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STANDARDS AND DATASETS FOR REPORTING CANCERS

the datasets) in the context of the MDT meeting is advocated to optimise decisions related to patient treatment, to facilitate regular audit and review of all aspects of the service, to enable the collection of accurate data for NCRAS and to provide feedback for …

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Datasheets for Datasets - microsoft.com

Datasheets for Datasets Timnit Gebru1 Jamie Morgenstern2 Briana Vecchione3 Jennifer Wortman Vaughan1 Hanna Wallach1 Hal Daumé III1 4 Kate Crawford1 5 Abstract The machine learning community has no stan-dardized way to document how and why a dataset was created, what information it contains, what tasks it should and should not be used for, and

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Big Data: Challenges and Opportunities

“Big Data” refers to datasets whose size is beyond the ability of typical database software tools to capture, store, manage and analyze. This definition is quite general and open ended, and well captures the rapid growth of available data, and also shows the …

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John Schulman, Filip Wolski, Prafulla Dhariwal, Alec ...

3 Clipped Surrogate Objective Let rt( ) denote the probability ratio rt( ) = (a t j st) old (a t j st), so r( old) = 1.TRPO maximizes a \surrogate" objective L CPI ( ) = E^ t (at jst) old (at jst) A^ t = E^ t h rt( )A^t i: (6) The superscript CPI refers to conservative …

Introduction to Sentiment Analysis

Pang et al. (2002) Two human subjects were asked to pick keywords that would be good indicators of sentiment polarity Proposed word list Accu-racy Ties Human 1 Pos: dazzling, brilliant, phenomenal, excellent,

Transmittal of Fiscal Year (FY) 2021 Income Limits for the ...

3 Very Low-Income Limits: HUD calculates very low-income limits using a set of formulae as follows. The first step in calculating very low-income limits is to determine what they would be if the four-person limit is based on

FY 2021 STATE INCOME LIMITS - HUD USER

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